Further, we train our StyleGAN2-based generator with the following high-resolution image datasets: Flickr-Faces-HQ (FFHQ) [1]}, Large-Scale Scene Understanding (LSUN) Challenge [2]} dataset, WikiArt [3]}, or Landscapes High-Quality (LHQ) [4]}. Flickr-Faces-HQ (FFHQ) [1]} contains the 70,000 high-quality human face images with a resolution of \(1024 \times 1024\) , and the Large-scale Scene Understanding (LSUN) Challenge [2]} contains church images with a resolution of \(256 \times 256\)  and car images with a resolution of \(384 \times 512\) . WikiArt [3]} contains images of the paintings with a resolution of 1024 \(\times \)  1024 drawn by 195 different artists. Lastly, the Landscapes High-Quality (LHQ) [4]} contains nature landscape images of the resolution \(256 \times 256\) .
